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Cited by 325

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Spatial filtering and neocortical dynamics: estimates of EEG coherence

Open access
Srinivasan, R., Nunez, P.L., Silberstein, R.B.·1998·IEEE Transactions on Biomedical Engineering

Abstract

The spatial statistics of scalp electroencephalogram (EEG) are usually presented as coherence in individual frequency bands. These coherences result both from correlations among neocortical sources and volume conduction through the tissues of the head. The scalp EEG is spatially low-pass filtered by the poorly conducting skull, introducing artificial correlation between the electrodes. A four concentric spheres (brain, CSF, skull, and scalp) model of the head and stochastic field theory are used here to derive an analytic estimate of the coherence at scalp electrodes due to volume conduction of uncorrelated source activity, predicting that electrodes within 10-12 cm can appear correlated. The surface Laplacian estimate of cortical surface potentials spatially bandpass filters the scalp potentials reducing this artificial coherence due to volume conduction. Examination of EEG data confirms that the coherence estimates from raw scalp potentials and Laplacians are sensitive to different spatial bandwidths and should be used in parallel in studies of neocortical dynamic function.

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Metadata

Authors
Srinivasan, R., Nunez, P. L., & Silberstein, R. B.
Venue
IEEE Transactions on Biomedical Engineering
Published
1998-07
Volume
45
Issue
7
Pages
814-826
ISSN
0018-9294 (ISSN-L)
OpenAlex
W2095590015
Cited by
325
References
2
FWCI
5.27
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Spatial filtering and neocortical dynamics: estimates of EEG coherence. https://app.cochat.ai/papers/10.1109/10.686789
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Srinivasan, R., Nunez, P. L., & Silberstein, R. B. (1998). Spatial filtering and neocortical dynamics: estimates of EEG coherence. IEEE Transactions on Biomedical Engineering. https://doi.org/10.1109/10.686789

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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